insideHPC

Scalable and Distributed DNN Training on Modern HPC Systems

In this video from the Swiss HPC Conference, DK Panda from Ohio State University presents: Scalable and Distributed DNN Training on Modern HPC Systems. The current wave of advances in Deep Learning ...
Semiconductor Engineering

Low-Power Heterogeneous Compute Cluster For TinyML DNN Inference And On-Chip Training

A new technical paper titled “DARKSIDE: A Heterogeneous RISC-V Compute Cluster for Extreme-Edge On-Chip DNN Inference and Training” was published by researchers at University of Bologna and ETH Zurich ...
Visual Studio Magazine

DNN Image Classification Using Keras

An example of an image classification problem is to identify a photograph of an animal as a "dog" or "cat" or "monkey." The two most common approaches for image classification are to use a standard ...
EurekAlert!

Early Bird uses 10 times less energy to train deep neural networks

HOUSTON -- (May 18, 2020) -- Rice University's Early Bird could care less about the worm; it's looking for megatons of greenhouse gas emissions. Early Bird is an energy-efficient method for training ...
TechNode

Briefing: Chinese researchers propose new, more efficient DNN training method

51001614 - robotic hand, accessing on laptop, the virtual world of information. concept of artificial intelligence and replacement of humans by machines. Every Wednesday and Friday, TechNode’s ...
Electronic Design

Lifelong-DNN Takes a Different Machine-Learning Path

Machine learning (ML) is a broad topic within the realm of artificial intelligence (AI). One of the more popular ML technologies is deep neural networks (DNNs), which have driven FPGA and GPGPU ...
insideHPC

How to Achieve High-Performance, Scalable and Distributed DNN Training on Modern HPC Systems

In this video from the Stanford HPC Conference, DK Panda from Ohio State University presents: How to Achieve High-Performance, Scalable and Distributed DNN Training on Modern HPC Systems. This talk ...